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SIAMIS
2011
14 years 10 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
133
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IPMI
2005
Springer
15 years 9 months ago
PET Image Reconstruction: A Robust State Space Approach
Statistical iterative reconstruction algorithms have shown improved image quality over conventional nonstatistical methods in PET by using accurate system response models and measu...
Huafeng Liu, Yi Tian, Pengcheng Shi
140
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MVA
1996
109views Computer Vision» more  MVA 1996»
15 years 5 months ago
Model Based Tracking on 3D Objects
In this paper, a new tracking algorithm, based on local minimum energy, is proposed for matching between a projected model and corresponding image features in real-time. The algor...
Zheng Li, Han Wang
276
Voted
MMM
2011
Springer
368views Multimedia» more  MMM 2011»
14 years 7 months ago
Correlated PLSA for Image Clustering
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
Peng Li, Jian Cheng, Zechao Li, Hanqing Lu
153
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IJON
2010
189views more  IJON 2010»
15 years 2 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin